Call:
lm(formula = Y ~ X, data = df)
Residuals:
Min 1Q Median 3Q Max
-2.2448 -0.8732 -0.1221 0.8737 2.6287
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 2.6253 0.4879 5.381 2.63e-07 ***
X 1.3684 0.1230 11.124 < 2e-16 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Residual standard error: 1.161 on 158 degrees of freedom
Multiple R-squared: 0.4392, Adjusted R-squared: 0.4357
F-statistic: 123.8 on 1 and 158 DF, p-value: < 2.2e-16